2026-04-13T01:57:18Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/4486132025-12-11T20:45:52Zcom_2072_1033col_2072_452951

00925njm 22002777a 4500 dc Cadenato González, Irati author 2025-07-14 The development of gravity-assist maneuvers has revolutionized interplanetary mission design, enabling the exploration of the solar system with reduced propellant requirements and more ambitious scientific objectives. Building on these advancements, recent research in trajectory optimization has used genetic algorithms and other metaheuristic methods to efficiently navigate complex mission design spaces, while improvements in tools for planning scientific observations have maximized the scientific return of space missions. By combining a multi-gravity assist optimizer with an advanced observation scheduling module, the proposed framework simultaneously identifies optimal spacecraft trajectories and generates activity plans that meet mission-specific scientific goals. We provide several arbitrary tests to demonstrate the feasibility of this approach, with room still left for improvement of the architecture and performance of the combined module. http://hdl.handle.net/2117/448613 Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Optimització Àrees temàtiques de la UPC::Física::Astronomia i astrofísica Trajectory optimization Interplanetary voyages--Planning Optimization Interplanetary mission design Science-planning Optimització de la trajectòria Viatges interplanetaris--Planificació Development of a multi-objective optimisation tool for interplanetary mission design applied to science planning